Abstract
This paper proposes a novel method of the risk assessment of sudden cardiac death based on 3-channel Holter ECG data. The proposed method intends to realize an accurate and efficient TWA detection on the data recorded under non-controlled common daily activity. A new index named α percentile of alternans ratio values ARP (α) is proposed as a useful measure for the risk assessment. The method examines the change in T-wave morphology based on singular value decomposition (SVD). The T-Loop divided into five sections is utilized for calculating the AR ratio defined as the relative frequency power at the Nyquist frequency. Then α percentile of ordered AR values ARP (α) are compared between subject with high cardiac risk and control subjects. It was shown that the index ARP(0.05) effectively classifies the high risk subject group. The method will be useful for the risk assessment of sudden cardiac death from the ECG data during the daily common activity.
